2021
Learning Embeddings from Knowledge Graphs With Numeric Edge Attributes
IJCAI 2021poster
Numeric values associated to edges of a knowledge graph have been used to represent uncertainty, edge importance, and even out-of-band knowledge in a growing number of scenarios, ranging from genetic data to social networks. Nevertheless, traditional knowledge graph embedding models are not designed…